Quantitative Researcher - Graduate: 2027
Graduate quant research programme spanning problem formulation, mathematical modelling, strategy backtesting, iteration, implementation, and monitoring.
- Work across the quantitative-research lifecycle: problem conceptualisation, modelling, backtesting, iteration, implementation, and monitoring.
- Use probability, statistics, numerical analysis, stochastic optimisation, and machine learning to develop and refine trading strategies.
- Combine classroom education with trading games and project work.
What Susquehanna looks for
- Recent or upcoming research master's or PhD graduates, or postdocs, in a quantitative discipline.
- Strong mathematical modelling and data interpretation.
- Research depth, analytical precision, and attention to detail.
- Clear communication and collaboration.
No finance background is required. Hiring is rolling.
Role information
Location London, United Kingdom
Job type Graduate
Category Quant Research
Experience Graduate
Company
Global quantitative trading firm integrating trading, technology, quantitative research, machine learning, and decision science, with a major focus on derivatives.
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